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ISRN Artificial Intelligence
Volume 2012 (2012), Article ID 847305, 19 pages
Review Article

Neural Network Implementations for PCA and Its Extensions

1Enjoyor Labs, Enjoyor Inc., Hangzhou 310030, China
2Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
3Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada H3G 1M8

Received 8 April 2012; Accepted 14 June 2012

Academic Editors: C. Kotropoulos and B. Schuller

Copyright © 2012 Jialin Qiu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Xiongfei Zou, Ying Tang, Shirong Bu, Zhengxiang Luo, and Shouming Zhong, “Neural-Network-Based Approach for Extracting Eigenvectors and Eigenvalues of Real Normal Matrices and Some Extension to Real Matrices,” Journal of Applied Mathematics, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • Jiacun Xie, Wenwen Bai, Tiaotiao Liu, and Xin Tian, “Functional connectivity among spike trains in neural assemblies during rat working memory task,” Behavioural Brain Research, 2014. View at Publisher · View at Google Scholar
  • Li-Woei Chen, Yue-Dar Jou, Fu-Kun Chen, and Shu-Sheng Hao, “Eigenfilter design of linear-phase FIR digital filters using neural minor component analysis,” Digital Signal Processing, 2014. View at Publisher · View at Google Scholar
  • Xiaowei Feng, Xiangyu Kong, Hongguang Ma, and Haomiao Liu, “Unified and Coupled Self-Stabilizing Algorithms for Minor and Principal Eigen-pairs Extraction,” Neural Processing Letters, 2016. View at Publisher · View at Google Scholar
  • Baris Yuce, and Yacine Rezgui, “An ANN-GA Semantic Rule-Based System to Reduce the Gap Between Predicted and Actual Energy Consumption in Buildings,” IEEE Transactions on Automation Science and Engineering, vol. 14, no. 3, pp. 1351–1363, 2017. View at Publisher · View at Google Scholar